Biggest Misconceptions About AI Agents

\"What we're seeing is a generation of teams in their mid-twenties going into areas where they had no prior experience, working really hard... building and iterating more quickly than has been done before.\"

• Embrace new ideas without legacy constraints.
• Work diligently to accelerate progress.
• Innovation can come without prior experience.

\"How strong is this team? How quickly can they build and ship things? Because this whole space is moving so quickly, the ground is shifting from under you and you have to be able to adjust with that.\"

• Build agile teams capable of rapid iteration.
• Stay adaptable in changing markets.
• Execute swiftly to maintain an advantage.

\"In between those two, the models and the applications, you have infrastructure, and that's just hard. It's just difficult...\"

• Concentrate on application development.
• Leverage existing infrastructure solutions.
• Save resources by not reinventing complex layers.

\"I don't have a religious view on open versus closed; it's kind of just the state of the world today.\"

• Use existing models when feasible.
• Consider tuning open-source models for tasks.
• Decide based on practical needs, not ideology.

\"If there is training data specific to a domain and there's an advantage to just focusing on that and using that data to more fully automate a process, then yeah, I could see many more of these kind of vertical type things in future.\"

• Focus on verticals with rich domain data.
• Use specialized data to enhance AI automation.
• Vertical solutions can gain competitive edges.

\"It helps not to be encumbered by too much of a sense of history or too much of a sense of how things have been done before.\"

• Leverage new perspectives to innovate.
• Don't let conventional methods hinder creativity.
• Embrace rapid iteration and learning.

\"You really have to dig underneath that and understand what is the customer trying to achieve, how much of that can models do today, and then given the likely trajectory... will they get better over time?\"

• Go beyond metrics to grasp true demand.
• Align product capabilities with customer needs.
• Anticipate model improvements in planning.

\"I think in early-stage companies, there's no defensibility. And I don't even think defensibility is an unrealistic standard for an early-stage company.\"

• Focus on rapid development and market fit.
• Use speed as a competitive advantage.
• Prioritize unlocking customer demand.

\"Ultimately, all software applications as we know them today get replaced by agents because why would you want to do it yourself if you can instead have something else do it for you?\"

• Consider integrating AI agents to automate user tasks.
• Agents can offer new business models and efficiencies.
• Stay ahead by embracing agent technology.

\"In general, how we approach it is we look for the handful of areas and the handful of teams where AI can make a significant difference and can really unlock a level of latent demand in the market that is there and just needs to be realized by the right product.\"

• Identify high-impact AI opportunities.
• Build products meeting latent demand.
• Use AI to expand markets.